Applying data mining for online CRM marketing strategy: An empirical case of coffee shop industry in Taiwan

Abstract

Purpose

The purpose of this paper is to propose a data mining approach for mining valuable markets for online customer relationship management (CRM) marketing strategy. The industry of coffee shops in Taiwan is employed as an empirical case study in this research.

Design/methodology/approach

Via a proposed data mining approach, the study used fuzzy clustering algorithm and Apriori algorithm to analyze customers for obtaining more marketing and purchasing knowledge of online CRM systems.

Findings

The research found three hard markets and one fuzzy market. Furthermore, the study discovered two association rules and two fuzzy association rules.

Originality/value

However, industry of coffee shops has been always a fast-growing and competitive business around the world. Thus, marketing strategy is important for this industry. The results and the proposed data mining approach of this research can be used in the industry of coffee shop or other retailers for their online CRM marketing systems.

Citation

Chiang, W.-Y. (2018), "Applying data mining for online CRM marketing strategy: An empirical case of coffee shop industry in Taiwan", British Food Journal, Vol. 120 No. 3, pp. 665-675. https://doi.org/10.1108/BFJ-02-2017-0075